Udemy – Complete Computer Vision Bootcamp With PyTorch & Tensorflow 2025-1

Apr 18, 2025 - 19:41

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Complete Computer Vision Bootcamp With PyTorch & Tensorflow. This course is a comprehensive bootcamp on computer vision that uses PyTorch and TensorFlow to teach participants from the basics to advanced concepts in the field, especially convolutional neural networks (CNN) and object recognition models. The course is designed to equip participants with the skills necessary to build powerful computer vision applications from scratch.

In this comprehensive course, participants will learn the fundamentals and advanced concepts of computer vision, with a focus on convolutional neural networks (CNNs) and object recognition models using TensorFlow and PyTorch. The course is designed to equip participants with the skills needed to build robust computer vision applications from scratch. Participants will learn fundamental computer vision concepts, such as understanding image data and its structure, exploring pixel values, channels, and color spaces, and learning OpenCV for image manipulation and preprocessing.

What you will learn:

Master CNN concepts from basics to advanced with TensorFlow and PyTorch.
Learning object recognition models like YOLO and Faster R-CNN.
Step-by-step implementation of real-world computer vision projects.
Gain practical experience with data preprocessing and augmentation.
Building custom CNN models for various computer vision tasks.
Mastering transfer learning with pre-trained models like ResNet and VGG.
Gain practical skills with TensorFlow and PyTorch libraries.

This course is suitable for people who:

Beginners who are eager to learn computer vision from scratch.
Data scientists looking to expand their skill set with CNNs and object recognition.
Artificial intelligence and machine learning engineers whose goal is to build computer vision models.
Researchers and students investigating deep learning for visual tasks.
Professionals interested in deploying CV applications in the real world.